<div class="content-intro"><p><strong>We Make Remote Work Remarkable</strong><strong> • TopTalent from LatAm</strong></p> <p><span style="font-weight: 400;">Hello! We are </span><strong>GoFasti, </strong><span style="font-weight: 400;">a Talent-as-a-Service. </span><span style="font-weight: 400;">GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe. </span></p></div><p>We need an English-fluent<strong> Mid Level Data Engineer</strong>, based in Latin America, available to work remotely.<br><br>We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.</p><p>Are you the one we are looking for?</p><p><strong>Responsibilities:</strong></p><ul class="tiptap-list-disc"><li><p>Work closely with product teams to help define and execute technical criteria</p></li><li><p>Architect and maintain robust data ingestion pipelines that feed both our application and analytics</p></li><li><p>Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data</p></li><li><p>Help onboard client data from a variety of sources, such as Databricks via Delta Sharing, and integrate it with our existing services and workflows</p></li><li><p>Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema change handling</p></li><li><p>Build a documented, well-tested data foundation that serves the app, analytics and future AI use cases</p></li></ul><p><strong>Requirements:</strong></p><ul class="tiptap-list-disc"><li><p>Mid-to-senior data engineer who has owned the design of production data pipelines end to end, working as an autonomous IC</p></li><li><p>Designing and building production ingestion pipelines from APIs, files and shared-data sources, using a workflow orchestrator (any tool, e.g. Airflow, Dagster or Step Functions)</p></li><li><p>Production experience with a cloud data warehouse (Snowflake preferred)</p></li><li><p>Strong SQL, plus production experience in Python (preferred) or Node.js/TypeScript</p></li><li><p>AWS or another enterprise cloud platform</p></li><li><p>AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD</p></li><li><p>Strong English and communication skills</p></li></ul><p><strong>It's a plus:</strong></p><ul class="tiptap-list-disc"><li><p>dbt</p></li><li><p>Preparing data for AI/LLM use (e.g. semantic layers, metadata, retrieval-ready datasets)</p></li><li><p>Infrastructure as code (e.g. Terraform)</p></li><li><p>Exposure to energy, utilities or sustainability data</p></li></ul><p><strong>Compensation:</strong></p><ul class="tiptap-list-disc"><li><p>The salary range offered for this position varies from (USD) $3,000 - $4,000 per month, depending on seniority and skillset.</p></li><li><p>This is a 40 hours per week.</p></li><li><p>This position is for a full time contract, through a payroll platform.</p></li><li><p>The talent will work remotely allocated at our client.</p></li></ul><p><strong>Here are the steps for this process:</strong><br><br>TBD <strong>></strong> Application review/approval <strong>></strong> Screening interview with GoFasti's team <strong>></strong> We build and send your profile to our client <strong>></strong> Profile review/approval by client <strong>></strong> Interview with the client <strong>></strong> Hiring and onboarding.</p><div class="content-conclusion"><p>Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process. </p> <p><strong>Note for Candidates Approached Directly:</strong><br>If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting. <br><br>Thank you!</p></div>